Adaptive, kollektive Entscheidungsprozesse in biologisch inspirierten Roboterschwärmen (EXC 2002 SCIoI P 27)

The project investigates collective decision making in spatially distributed systems inspired by the behavior of biological collectives. Here, we are particularly interested in the ability of agents to change their social decision behavior and their social movement responses adaptively. The main research aim is to understand how these modifications of individual behavior affect collective decision making on adaptive spatial networks, and how these individual-level changes control the speed and accuracy of the collective decision-making process in various scenarios. The research involves two main parts: 1) Implementation of a bio-inspired, spatially-explicit, individual-based model for social movements and collective
decisions, and systematic investigation of the speed-accuracy trade-off through large-scale model simulations. 2) Design and performance of corresponding swarm robotic experiments for collective decision making under physical constraints (communication range, location, environment).

Romanczuk, Pawel Dr. (Details) (Nachwuchsgruppen)

Beteiligte externe Organisationen

DFG-Exzellenzinitiative: Cluster

Projektstart: 08/2020
Projektende: 07/2023

Zugehöriges Dachprojekt
01/2019 - 12/2025

Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systems, Biologie des Verhaltens und der Sinne, Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung

Kollektives Verhalten

Zuletzt aktualisiert 2020-07-05 um 00:05

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